Sr. Computer Vision ML Engineer - REMOTE Job at Apetan Consulting llc, New Jersey

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  • Apetan Consulting llc
  • New Jersey

Job Description

Looking for a Senior Computer Vision ML Engineer with over 8 years of experience specializing in building and deploying scalable AI/ML systems based on image recognition and computer vision. Proven track record of leading projects from conception to deployment, collaborating with cross-functional teams, and implementing high-performance machine learning pipelines. Expertise in building Gen AI products, Computer vision, LLM systems, and search-driven applications. Skilled in leveraging advanced technologies like vision models & GPT4 models, hybrid search techniques, and scalable infrastructure across cloud platforms such as Azure

Responsibilities-

  • Building computer vision algorithms for tasks such as object detection, image segmentation, pose estimation and scene understanding.
  • 5+ years of experience in computer vision and machine learning including deploying models in production.
  • Fine-tuning open-source models and deploying them for real-world applications.
  • Experience with OpenAI models (e.g., GPT-4) vision models.
  • Expertise in implementing hybrid search and retrieval-augmented generation (RAG) techniques.
  • Advanced testing and evaluation of different chunking strategies for optimized performance.
  • Experience with computer libraries such as OpenCV, DLIB or similar.
  • Proficient in designing and implementing deep learning architectures (e.g, CNNs, RNNs, transformers).
  • Experience with Azure cloud platforms and containerization tools like Docker and Kubernetes.
  • Familiarity with ML lifecycle tools (e.g., MLflow, DVC).
  • Deep knowledge of Azure AI studio.
  • Understanding LLM, RAG and Gen AI concepts.
  • Hands-on experience with building and managing large-scale machine learning systems.
  • Deep knowledge of infrastructure-side challenges, such as scaling models, load testing, and ensuring high availability.
  • Strong focus on performance optimization, continuous integration, and improving ML systems for deployment at scale.
  • Extensive experience leading machine learning projects end-to-end, from design and development to deployment and monitoring.
  • Collaborates closely with stakeholders, ML engineers, data scientists, and DevOps teams to ensure successful project delivery.
  • Builds out evaluation frameworks that incorporate user feedback from logging and fine-tuning model performance accordingly.
  • Building robust data pipelines for machine learning models, ensuring that data is clean, properly preprocessed, and available for model training and deployment.
  • Expertise in automating ML pipelines using Airflow and optimizing workflows in distributed environments.
  • Experience in integrating and managing large datasets for training complex models, including deep learning frameworks.

Technologies and Tools:

  • AI/ML Frameworks: OpenAI GPT-4 Vision models, Fine-tuning open-source models, RAG (Retrieval Augmented Generation)
  • Computer Vision Libraries: Open CV, DLIB, SimpleCV
  • Cloud Platforms: Azure, AWS
  • Data and Workflow Tools: Databricks, Apache Airflow
  • Programming Languages: Python, SQL, C++
  • Model Deployment & Optimization: ONNX, TensorRT, Docker, Kubernates, Fast API
  • Other Tools: Model performance evaluation frameworks, logging and monitoring tools

Other Soft Skills:

  • Strong communication and leadership abilities, effectively working with technical and non-technical stakeholders.
  • Capable of owning projects end-to-end while balancing multiple priorities and ensuring timely delivery.

Job Tags

Remote job,

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